Dar-Blockchain/talentai
May 2025 – Jul 2025
3 Months active
Languages Used
JSONJavaScript
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationBackend DevelopmentBlockchainDatabase Integration
monabeldi
PROFILE
Monabeldi
Developed advanced AI-driven assessment and onboarding systems for the Dar-Blockchain/talentai repository, focusing on scalable workflows for talent evaluation and project analysis. Leveraged Node.js, JavaScript, and Mongoose to design robust APIs for generating and analyzing technical, business, and HR interview questions, integrating AI providers such as TogetherAI and OpenAI. Enhanced backend reliability through secure Hedera wallet-based account creation, persistent data modeling, and comprehensive error handling. Implemented modular prompt engineering and quota systems to optimize assessment quality and efficiency. The work improved candidate screening, onboarding lifecycle management, and data integrity, while enabling data-driven decision-making and streamlined analytics across talent and project workflows.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
100Total
Bugs
10
Commits
100
Features
45
Lines of code
18,611
Activity Months3
Your Network
10 peopleSame Organization
@esprit.tn3
Shared Repositories
7
Work History
July 2025
11 Commits • 2 Features
Jul 1, 2025July 2025 highlights for Dar-Blockchain/talentai: Delivered AI-assisted assessment capabilities and analytics to standardize project evaluations and enable data-driven decisions across talent projects. Focused on creating a scalable, user-centered workflow with robust data models and AI prompts.
11 Commits • 2 Features
Jul 1, 2025July 2025 highlights for Dar-Blockchain/talentai: Delivered AI-assisted assessment capabilities and analytics to standardize project evaluations and enable data-driven decisions across talent projects. Focused on creating a scalable, user-centered workflow with robust data models and AI prompts.
July 2025
June 2025
72 Commits • 38 Features
Jun 1, 2025June 2025 monthly performance summary for Dar-Blockchain/talentai focusing on onboarding and job assessment systems, data modeling, and API enhancements. The work delivered combines substantial feature improvements, reliability safeguards, and clear business value in talent evaluation, onboarding efficiency, and data-driven decisioning.
June 2025
72 Commits • 38 Features
Jun 1, 2025June 2025 monthly performance summary for Dar-Blockchain/talentai focusing on onboarding and job assessment systems, data modeling, and API enhancements. The work delivered combines substantial feature improvements, reliability safeguards, and clear business value in talent evaluation, onboarding efficiency, and data-driven decisioning.
May 2025
17 Commits • 5 Features
May 1, 2025May 2025 performance summary for Dar-Blockchain/talentai: Strengthened hiring workflow and on-chain reliability while expanding AI capabilities. Key features delivered include Hedera wallet-based account creation with secure transaction signing, AI Interview Questions Generator API, persistence/linking of job assessments, migration to TogetherAI across AI features, and AI-driven ToDo List for candidate profiles. Major bugs fixed include Gmail signing issues in Hedera integration and robust evaluation result parsing. Impact: faster candidate screening, improved data integrity and auditability, and scalable AI workloads. Technologies demonstrated: Hedera SDK wallet signer pattern, TogetherAI integration, API design, DB persistence, AI toolchains, and robust JSON parsing.
17 Commits • 5 Features
May 1, 2025May 2025 performance summary for Dar-Blockchain/talentai: Strengthened hiring workflow and on-chain reliability while expanding AI capabilities. Key features delivered include Hedera wallet-based account creation with secure transaction signing, AI Interview Questions Generator API, persistence/linking of job assessments, migration to TogetherAI across AI features, and AI-driven ToDo List for candidate profiles. Major bugs fixed include Gmail signing issues in Hedera integration and robust evaluation result parsing. Impact: faster candidate screening, improved data integrity and auditability, and scalable AI workloads. Technologies demonstrated: Hedera SDK wallet signer pattern, TogetherAI integration, API design, DB persistence, AI toolchains, and robust JSON parsing.
May 2025
Activity
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Quality Metrics
Correctness84.2%
Maintainability82.8%
Architecture80.4%
Performance76.8%
AI Usage49.0%
Skills & Technologies
Programming Languages
JSONJavaScript
Technical Skills
AI IntegrationAI Prompt EngineeringAI/MLAI/ML IntegrationAPI ConfigurationAPI DevelopmentAPI IntegrationAPI SecurityBackend DevelopmentBlockchainCode OrganizationCode ReadabilityData ParsingDatabase AggregationDatabase Integration
Repositories Contributed To
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